8 10 185 https://www.repository.gctu.edu.gh/files/original/5825c459ccfd72cdcdaf621996290226.pdf e11c1640a400bbb81855be4605d3e366 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Saving the planet: An Assessment of green computing practice among tertiary institutions in Ghana Creator An entity primarily responsible for making the resource EMMANUEL Freeman Description An account of the resource This study assesses the current state of adoption and practice of Green Computing among Ghana Tertiary Institutions. The driving force for this investigation includes issues of conducive academic environment and humanity, energy conservation, disposal, and recycling of electronic devices in tertiary institutions. To achieve this, both quantitative and qualitative methods are used to capture data for the findings and analysis. Data were collected from a sample of 200 computer users of faculty members, administrative staffs and students among five selected Universities and Polytechnics Analysis of the study has shed light on the levels of green computing knowledge and practice possessed by computer users. The scenario that emerged from the findings is less than desirable. Given the importance of green computing awareness, knowledge, practice and adoption, it is recommended that academic institutions and government agencies to take the first step in educating the public, regarding the" underlying principles and practice" of green computing. The general impression from the study is that, computer users in the selected schools generally have either low levels of green computing habits and practices or none at all. Also, the institutions have made very little effort to accept the practice in their schools. This is as a result of the facts that, the awareness of Green IT in most institutions and the practices among individuals are not in place; hence a lot of people are ignorant about this new development of technology. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:d1gkVwhDpl0C https://www.repository.gctu.edu.gh/files/original/4bfa73336b1eea9964ced17a46348b92.pdf 49c3f4108adf641ef5938029e08d00c6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/002a289a5a1837673e1aa7e6788a7a67.pdf cd39d148949ab373ba8036cd5438eb18 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/b0b7b02322838bbfd0237add7b99664d.pdf 5aee69b384f4a5c48543d2d49a5a5ec7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Effects of capital structure choice on profitability of oil marketing companies in Ghana (OMCs): case studies of Ghana Oil Company limited and total petroleum Ghana limited Creator An entity primarily responsible for making the resource Patrick Baah-Acquah, Emmanuel Freeman, Ebenezer Perry Ellis Description An account of the resource Capital structure is actually a mix of different securities. The importance of capital structure cannot be over emphasized since it impacts on firm’s value. Capital structure choices have had significant impacts on shareholders wealth. The study investigated the impact of capital structure on the profitability of Oil Marketing Companies (OMC’s). With regards to the firm’s capital structure, the study employed short-term debt to total capital, long-term debt to total capital and total debt to total capital in comparison with return on assets (ROA), return on equity (ROE) and net profit margin (NPM). The study employed secondary data and the data was analysed using multiple regressions. The result reveals that short term debt to total capital, long term debt to total capital, total debt to total capital, firm size, and sales growth, have varying and mixed relationships with profitability in terms of return on asset, and return on equity of the Oil Marketing Companies (OMC’s). The study recommend that companies implement due diligence in considering debt financing decisions, to come out with the best possible financing blend which will maximize profitability for their companies. Publisher An entity responsible for making the resource available International Journal of Multidisciplinary Research and Development Date A point or period of time associated with an event in the lifecycle of the resource 2017 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:qjMakFHDy7sC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/abfacc3cd826dd33310f09a59b481d1c.pdf 495a3f34e2434fcca1f7e9f9d386c431 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Nature-Inspired search method and custom waste object detection and classification model for smart waste bin Creator An entity primarily responsible for making the resource Israel Edem Agbehadji, Abdultaofeek Abayomi, Khac-Hoai Nam Bui, Richard C Millham, Emmanuel Freeman Description An account of the resource Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate sorting of solid waste at the point of collection and the attendant impact on waste management process is the motivation for this study. The South African University of Technology (SAUoT) is used as a case study because solid waste management is an aspect where SAUoT is exerting an impact by leveraging emerging technologies. In this article, a convolutional neural network (CNN) based model called You-Only-Look-Once (YOLO) is employed as the object detection algorithm to facilitate the classification of waste according to various categories at the point of waste collection. Additionally, a nature-inspired search method is used as learning rate for the CNN model. The custom YOLO model was developed for waste object detection, trained with different weights and backbones, namely darknet53.conv.74, darknet19_448.conv.23, Yolov4.conv.137 and Yolov4-tiny.conv.29, respectively, for Yolov3, Yolov3-tiny, Yolov4 and Yolov4-tiny models. Eight (8) classes of waste and a total of 3171 waste images are used. The performance of YOLO models is considered in terms of accuracy of prediction (Average Precision—AP) and speed of prediction measured in milliseconds. A lower loss value out of a percentage shows a higher performance of prediction and a lower value on speed of prediction. The results of the experiment show that Yolov3 has better accuracy of prediction as compared with Yolov3-tiny … Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2022 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:MXK_kJrjxJIC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/61d7e718b8863e5ac354eacb5e36a301.pdf 483a7b358fd0451f85d8a25970a11649 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling the Trend of Performance of the Manchester United Football Club in the 1960-2013 English Premiership Creator An entity primarily responsible for making the resource Linus Addae, Martin Owusu Amoamah, Iddrisu Wahab Abdul, Osei Antwi Description An account of the resource This research studied the trend of performance of Manchester United Football Club in the 1960-2013 English premiership seasons. The three main variables involved in this study are the number of games won, games drawn and games lost by Manchester United for the study period. But this study concentrated on the number of games lost since the objective of every manager of a team is to minimize loss and maximize win or draw. Thus the objective of this study is to develop a model for predicting the number of games that would be lost by Manchester United in future seasons using games played in the previous seasons. The data used for this study are secondary data obtained from sportamok and English premiership websites. The statistical technique used for this study is time series analysis. Specifically, Autoregressive Integrated Moving Average (ARIMA) model was used to develop a model for the number of games lost by Manchester United. The model was used to forecast for the next fifteen seasons. The model predicted that Manchester United will lose six (6) games for 2013/2014 season. Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:2osOgNQ5qMEC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/3326a9f1f846e0321cfcf7951cfcc079.pdf 4ad94036ff3b44e21a75d43671c1bbb6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Logistic Regression Model for Determining the Sex of a Child Using Age of the Mother and Month of Conception Creator An entity primarily responsible for making the resource Ben Apau-Dadson, Iddrisu Wahab Abdul, Martin Owusu Amoamah, Joseph Dadzie Description An account of the resource The issue of sex determination (before conception) is beyond the study of Science. Though current studies have developed means to determine gender, it is not until the baby has been conceived. After conception, scientific methods can be used to determine whether the baby will be a boy or a girl. This study seeks to use the age of the mother and the month in which she conceives to predict the gender of the baby, using appropriate statistical methods. The data used for this study was extracted from the delivery books of the Maternity Department of Achimota Hospital in the Amasaman District of Greater Accra Region in Ghana from 2000-2004. Logistic regression was used to analyze the data since the dependent variable has only two possible values (Male or Female). The results reveal that the odds of estimating correctly the gender of a baby improves by only 0.4% if one knows the age of the mother and by 1.1% if one knows the month within which the child was conceived. Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:Tyk-4Ss8FVUC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/35e1a7c10e1d8e612e49144f548d4067.pdf 9fd756205ce2dc18a4c6eb3b3729a5c8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Discriminant Analysis of Discrimination against People with Disability Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Joseph Dadzie, Ben Apau-Dadson Description An account of the resource Negative stereotypes about physically challenged people result in discriminatory social policies which in turn reinforce or confirm negative attitudes that greatly affects them as they strive to function in the society, these problems create some difficulties as the physically challenged persons strives to effectively play active role in various sectors of the society. The main objective of this study was to identify the category of people who perpetuate discriminatory practices against physically challenged people in Tamale metropolis of Ghana. Questionnaires and interview guide were used to collect data for the study. Discriminant analysis using Statistical Package for Social Sciences (SPSS) was then performed on the collected data. The results revealed that" survey respondents who had discriminated either consciously or unconsciously against people with disabilities were more likely to be less than 40 years in terms of age, male in terms of sex, educated with regards to formal education, and working in the formal sector in terms of occupation than survey respondents who had never discriminated against people with disabilities." Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:_FxGoFyzp5QC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/35af2124fd5a83eff20894246509c199.pdf 853baa29435fc8a2ccbf67c417d3431e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Item Response Theory Model for Understanding Item Non-Response in Ghanaian Surveys Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Nana Kena Frempong, Martin Owusu Amoamah Description An account of the resource This paper explores four Item Response Theory (IRT) models to determine the most appropriate for understanding item non-response. The selected IRT model was used to identify among five categories of survey questions, the most difficult to answer by respondents and determine the underlying mechanism behind missing data which is defined to include ‘don’t know’answers. A questionnaire data on Ghana collected in the fifth wave of the World Values Survey was implored. All items were dichotomously scored. Missing or ‘don’t know’responses were assigned a 0 score whiles answered items were assigned a 1 score. The four IRT models that were explored included both the constrained and unconstrained versions of the Rasch model, the two parameter logistic model (2-PLM), and the three parameter logistic model (3-PLM). The unconstrained Rasch model emerged as the most appropriate model for understanding item non-response. It was observed that, income related questions had the highest difficulty parameter, hence the most difficult category of survey questions to answer. It was also found that, if an individual does not answer a survey question or give a ‘don’t know’answer, it is not only due to the question’s difficulty but also because the respondent doesn’t want to answer. Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:Se3iqnhoufwC Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Item Response Theory to Understand Item-Nonresponse (Missing Data) in Ghanaian Surveys Creator An entity primarily responsible for making the resource Wahab Abdul Iddrisu Description An account of the resource After reviewing the theoretical and empirical literature on Item Response Theory (IRT) and Item-non response, this study investigates three issues: Firstly, to identify the most appropriate IRT model for understanding item-non response... Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:WF5omc3nYNoC Language A language of the resource English